• DocumentCode
    584413
  • Title

    Research on the Repeater Distribution Based on Monte Carlo Method in Wireless Senor Networks

  • Author

    Ban-teng, Liu ; Tiao-juan, Ren ; Zhang-quan, Wang ; Li-zhe, Yu ; You-rong, Chen

  • Author_Institution
    Coll. of Inf. Eng., Zhejiang Shuren Univ., Hangzhou, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    1103
  • Lastpage
    1105
  • Abstract
    This article builds two models to analysis the two cases of 1,000 and 10,000 simultaneous users. At first, this paper presents two models of repeater distribution in two cases of 1,000 and 10,000 simultaneous users the minimum numbers of repeaters are 9 and 83 under our assumptions. The repeater distribution problem is transformed to minimum cover problem and Monte Carlo method is employed. Solution of situation with mountain area is discussed. In first model for the case of 1,000 simultaneous users, we apply the theory of "circles covering circles". Unfortunately, we can prove that there are repeaters whose loads are beyond their capacity if we use the theory directly. Instead of trying to find more circles to cover the area, we modify the theory to fit our requirement. In second model for the case of 10,000 simultaneous users, we noticed the fact that hexagon is considered to be the optimal graphic which uses the least nodes to cover the maximum area. In this case, we model the repeater cover regions by several regular hexagons. The key point in this case is to calculate the area of intersection. Recognized the complexity of direct calculation, we follow the idea of the Monte Carlo method.
  • Keywords
    Monte Carlo methods; repeaters; wireless sensor networks; Monte Carlo method; circles covering circles; repeater distribution; wireless senor networks; Load modeling; Mathematical model; Mobile communication; Monte Carlo methods; Receivers; Repeaters; Wireless communication; distribution; monte carlo; wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Service System (CSSS), 2012 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0721-5
  • Type

    conf

  • DOI
    10.1109/CSSS.2012.279
  • Filename
    6394517